2. There are 6 different datasets noted as A,B,C,D,E,F. Each dataset is clustered using two different methods, and one of them is K-means. All results are shown in Figure 2. Please determine which results more likely to be generated by K-means method. (Hint: check the state when K-means converges; Centers for each cluster have been noted as X; Since x and y axis are scaled proportionally, you can determine the distance to centers geometrically). The distance measure used here is the Euclidean distance. A1 C1 Application of k-means E1 A2 C2 E2 B1 D1 F1 Figure 2: Clustered Results for 6 datasets Dataset A (write A1 or A2, same in the following question); Dataset B Dataset C Dataset D Dataset E Dataset F B2 D2 F2
2. There are 6 different datasets noted as A,B,C,D,E,F. Each dataset is clustered using two different methods, and one of them is K-means. All results are shown in Figure 2. Please determine which results more likely to be generated by K-means method. (Hint: check the state when K-means converges; Centers for each cluster have been noted as X; Since x and y axis are scaled proportionally, you can determine the distance to centers geometrically). The distance measure used here is the Euclidean distance. A1 C1 Application of k-means E1 A2 C2 E2 B1 D1 F1 Figure 2: Clustered Results for 6 datasets Dataset A (write A1 or A2, same in the following question); Dataset B Dataset C Dataset D Dataset E Dataset F B2 D2 F2
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
Related questions
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Please please do this manually
![2.
There are 6 different datasets noted as A,B,C,D,E,F. Each dataset is clustered using two different
methods, and one of them is K-means. All results are shown in Figure 2. Please determine which
results more likely to be generated by K-means method. (Hint: check the state when K-means
converges; Centers for each cluster have been noted as X; Since x and y axis are scaled
proportionally, you can determine the distance to centers geometrically). The distance measure
used here is the Euclidean distance.
A1
C1
Application of k-means
E1
A2
C2
E2
B1
D1
F1
Figure 2: Clustered Results for 6 datasets
Dataset A (write A1 or A2, same in the following question);
Dataset B
Dataset C
Dataset D
Dataset E
Dataset F
B2
D2
F2](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F54632a43-84a1-4aed-a94c-629242c9b8d2%2Fb729c042-5db6-43e9-8b7e-6e820efde517%2Fuscn3l7_processed.jpeg&w=3840&q=75)
Transcribed Image Text:2.
There are 6 different datasets noted as A,B,C,D,E,F. Each dataset is clustered using two different
methods, and one of them is K-means. All results are shown in Figure 2. Please determine which
results more likely to be generated by K-means method. (Hint: check the state when K-means
converges; Centers for each cluster have been noted as X; Since x and y axis are scaled
proportionally, you can determine the distance to centers geometrically). The distance measure
used here is the Euclidean distance.
A1
C1
Application of k-means
E1
A2
C2
E2
B1
D1
F1
Figure 2: Clustered Results for 6 datasets
Dataset A (write A1 or A2, same in the following question);
Dataset B
Dataset C
Dataset D
Dataset E
Dataset F
B2
D2
F2
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